ZhijieYang commented on a change in pull request #16348:
URL: https://github.com/apache/flink/pull/16348#discussion_r664205889
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File path: docs/content.zh/docs/dev/table/functions/systemFunctions.md
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@@ -24,161 +24,161 @@ specific language governing permissions and limitations
under the License.
-->
-# System (Built-in) Functions
+# 系统（内置）函数
-Flink Table API & SQL provides users with a set of built-in functions for data
transformations. This page gives a brief overview of them.
-If a function that you need is not supported yet, you can implement a
[user-defined function]({{< ref "docs/dev/table/functions/udfs" >}}).
-If you think that the function is general enough, please <a
href="https://issues.apache.org/jira/secure/CreateIssue!default.jspa";>open a
Jira issue</a> for it with a detailed description.
+Flink Table API & SQL 为用户提供了一组内置的数据转换函数。本页简要介绍了它们。如果您需要的功能尚不支持，您可以实现
+[用户自定义功能]({{< ref "docs/dev/table/functions/udfs" >}})。如果你觉得这个功能够通用， 请
+<a href="https://issues.apache.org/jira/secure/CreateIssue!default.jspa";>创建一个
Jira issue</a>并详细
+说明。
-Scalar Functions
+标量函数
----------------
-The scalar functions take zero, one or more values as the input and return a
single value as the result.
+标量函数将零、一个或多个值作为输入并返回单个值作为结果。
-### Comparison Functions
+### 比较函数
-{{< sql_functions "comparison" >}}
+{{< sql_functions_zh "comparison" >}}
-### Logical Functions
+### 逻辑函数
-{{< sql_functions "logical" >}}
+{{< sql_functions_zh "logical" >}}
-### Arithmetic Functions
+### 算术函数
-{{< sql_functions "arithmetic" >}}
+{{< sql_functions_zh "arithmetic" >}}
-### String Functions
+### 字符串函数
-{{< sql_functions "string" >}}
+{{< sql_functions_zh "string" >}}
-### Temporal Functions
+### 时间函数
-{{< sql_functions "temporal" >}}
+{{< sql_functions_zh "temporal" >}}
-### Conditional Functions
+### 条件函数
-{{< sql_functions "conditional" >}}
+{{< sql_functions_zh "conditional" >}}
-### Type Conversion Functions
+### 类型转换函数
-{{< sql_functions "conversion" >}}
+{{< sql_functions_zh "conversion" >}}
-### Collection Functions
+### 集合函数
-{{< sql_functions "collection" >}}
+{{< sql_functions_zh "collection" >}}
-### Value Construction Functions
+### 构建值函数
-{{< sql_functions "valueconstruction" >}}
+{{< sql_functions_zh "valueconstruction" >}}
-### Value Access Functions
+### 获取值函数
-{{< sql_functions "valueaccess" >}}
+{{< sql_functions_zh "valueaccess" >}}
-### Grouping Functions
+### 分组函数
Review comment:
but I don't think `Grouping` is a special word here. If you think it's
necessary I will modify it. @RocMarshal
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